AI IoT and A New Era of Cybercrimes
Cyberroot Risk Advisory (CR Group)
Expansion of AI technology and IoT has altered the course of technological invasion throughout the world. The societal structure all total also changed with the invasion of internet. But with the invasion of internet the pattern of cyber crime is also changing a lot. In one side, when the internet world is getting secure and more users engaging, on the other ways, many ways are there to make use of the loopholes in the security.
Over the last few years, cybercriminals has adapted to new techniques to gain their momentum. With the advancement of IoT and AI, as devices are now more interlinked with each other, cybercriminals can now easily use this advantage quite well. Now, let’s find out how the field of cybercrime has changed with the advancement of IoT and AI technology.
RISKS FACTORS EVOLVING WITH AI AND IoT
Customers may reveal their behavioural and personal information online while using IoT compatible gadgets. To be fair, data is often safeguarded and encrypted. However, less expensive IoT solutions save costs by ignoring security regulations. Data is therefore compromised.
FACTORS THAT MIGHT UTILISE IoT DEVICES FOR BAD PURPOSES
Firstly, there are cybercriminals. They may utilise the information they gather about you to plot the crime by keeping an eye on your behaviour and whereabouts. They will learn how long you spend at home, what time you often depart, and how often you take vacations. Additionally, nefarious individuals may hack security cameras to spy on you.
Second commercials. Have you ever pondered why commercials seem to be relevant to you at all times?
Businesses utilise AI to analyse consumer behaviour and forecast the offers you would find interesting. Even though advertisements may be benign, the same AI is also used to manipulate social media. IoT devices also employ AI. IoT collects data about your activity, which AI learns and uses to anticipate your behaviours.
Finally, if AI is taught the incorrect ideas, it may become hazardous. Without human intervention, machine learning typically learns after being given some initial data. It will also take the wrong decisions if it picks up the wrong patterns. These choices might occasionally prove fatal.
AI AND IoT IN SOCIAL ENGINEERING
First, fraudsters are gathering data on their targets by utilising AI. This involves locating all of a certain person's social media accounts, especially by comparing their user photographs on several sites.
Cybercriminals are employing AI to more successfully deceive their targets once they have been identified. To trick their targets into believing they are communicating with someone they trust, this involves producing phoney visuals, sounds, and even video.
One tool, identified by Europol, can clone voices in real time. Hackers may duplicate anyone's voice using a five second audio recording and use it to access services or trick others. The CEO of a UK-based energy firm was conned out of £200,000 in 2019 by con artists utilising an audio deep fake. The FBI issued a warning about hackers utilising video deep fakes, which overlay someone else's face over their own, in remote IT job interviews in order to access key IT systems.
But to prevent it from being used by attackers, the way AI is created and commercialised will also need to be governed. In its study, Europol urged governments to create particular data protection frameworks for AI and make sure that these systems follow "security-by-design" principles. Many of the aforementioned AI capabilities are now too costly or technically challenging for the average cybercriminal to use. But as technology advances, that will alter. Now is the moment to get ready for a broad-scale AI-powered cybercrime.
CONCLUSION
